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The best multiclass model with 'precision' as evaluation parameter was the Extra Trees classifier (Table 5, phase 2).
The rank is obtained by training the multiclass model to support probability estimates [26].
The SVM multiclass model we employ returns both the class label and an associated probability, which we compare with a threshold in order to filter out segmentation frames that have a low-class probability and are thus susceptible to being misclassified.
The reduced feature vectors are then classified by the RVM technique according to an extended multiclass model, which shows good convergence characteristic.
These types of data are best modelled with Poisson regression.
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Partion BEST assigns an RNA candidate to the model with the best score (without any merging).
The best evolutionary model was also determined with MEGA5.
The best-fit model closely agreed with the observed data.
